General outline

Within this course, we will talk about and work through the core aspects of using python for a scientific project, i.e. data acquisition and data analyzes. In order to provide a solid basis for the practical work on these topics, they will be preceded by an in-depth introduction that will introduce and outline central characteristics and functions of the python programming language. These three defining parts will also be used as cornerstones of the course outline and will entail respective more-detailed subsections.

Schedule

Please see below for our current optimistic schedule. Depending on our progress, potential problems and different forms of learning, content and times might change a bit. Each lecture will be divided into two parts: a lecture part and a practicle part where you work on problems in groups.

Note

The optimistic schedule below may be subject of change, dependent on time constraints and progress made in the previous meetings. The sessions for the following week or two will be updated here the week before.

Date (day/month/year) 🗓	Topic 💡 👨🏻‍🏫
19/10/2023	Introduction I - course information & setup
26/10/2023	Introduction II - no in person session! Jupyter notebooks I
02/11/2023	Introduction III - Jupyter notebooks II
09/11/2023	Introduction IV - Intro to Python I
16/11/2023	Introduction V - Intro to Python II
23/11/2023	Introduction V - Intro to Python II continued
30/11/2023	Introduction VI - Intro to Python III